I'm a Product Manager (Growth & Strategy) who likes to build beyond the PRD. I work at the intersection of product, technology, and growth.

• AI-powered product experiences
• LLM and RAG applications
• AI workflows and agentic experiments
• Rapid prototypes with Claude Code and Cursor
• Product experiments driven by real user problems
• 0→1 products and ideas I'm exploring

Sometimes the fastest way to understand a product problem is to build something, break it, and see what happens. That's what I'm using this space for.

• Product Manager (Growth & Strategy) with experience across B2B SaaS, FinTech and HealthTech
• Built AI capabilities: ASR/NLP for clinical docs, fraud detection SaaS
• Comfortable with technical requirements, APIs, AI workflows
• Currently learning: LLMs, RAG, AI agents, evaluation, AI-assisted product dev
• I like to question every tiny thing. That's why I build things myself, test assumptions, and keep digging until I understand the "why" behind a product decision.

• X Recall: AI-powered bookmark organization for X. Automatically classifies saved posts into smart folders using a three-signal inference approach.
• Sukoon: Financial decision guidance app. Evaluates purchases through four transparent lenses with AI-powered insights. Go/Wait/Don't Buy verdicts with personalized mindsets and smart alternatives.
• PIVOT: Adaptive fitness planning built around the reality that people's time, energy and readiness change.
• RAG Pipeline: Experiments around retrieval-augmented generation and LLM applications.

I start with the problem.

Then I ask: Is this actually worth solving?

If it is, I try to get as close to the solution as possible.

The goal isn't to build more. It's to understand better.